A Dynamic Predictive Model for Progression of CKD

Background Predicting the progression of chronic kidney disease (CKD) is vital for clinical decision making and patient-provider communication. We previously developed an accurate static prediction model that used single-timepoint measurements of demographic and laboratory variables. Study Design De...

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Veröffentlicht in:	American journal of kidney diseases 2017-04, Vol.69 (4), p.514-520
Hauptverfasser:	Tangri, Navdeep, MD, PhD, FRCPC, Inker, Lesley A., MD, MS, Hiebert, Brett, MSc, Wong, Jenna, MSc, Naimark, David, MD, MSc, FRCPC, Kent, David, MD, MS, Levey, Andrew S., MD
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Aged, 80 and over albuminuria Albuminuria - physiopathology chronic kidney disease (CKD) Cohort Studies Creatinine - urine Disease Progression disease trajectory eGFR slope estimated glomerular filtration rate (eGFR) Female Follow-Up Studies Glomerular Filtration Rate - physiology Humans kidney failure Kidney Failure Risk Equation (KFRE) Kidney Failure, Chronic - mortality Kidney Failure, Chronic - physiopathology Kidney Failure, Chronic - therapy Kidney Function Tests Kidney Transplantation Male Middle Aged Nephrology Peritoneal Dialysis predictive model Prognosis Proportional Hazards Models Renal Dialysis renal replacement therapy (RRT) Risk Factors Risk prediction Survival Analysis time-dependent predictor
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